Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "219" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 65 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 63 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459881 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.203923 | 6.526176 | 61.662215 | 52.911587 | 19.112726 | 19.373263 | -5.946870 | 1.945311 | 0.6689 | 0.7162 | 0.3390 | nan | nan |
| 2459880 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.950872 | 6.974951 | 49.490819 | 42.736482 | 5.907650 | 6.146781 | -4.116949 | -3.548999 | 0.6142 | 0.6630 | 0.4052 | nan | nan |
| 2459879 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459878 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.343816 | 6.886469 | 60.111254 | 51.976630 | 10.089003 | 10.431366 | -8.424544 | -6.325178 | 0.6102 | 0.6660 | 0.4127 | nan | nan |
| 2459876 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.817556 | 7.762708 | 43.709613 | 35.959410 | 27.171180 | 28.735850 | -8.082959 | -5.960792 | 0.6274 | 0.6460 | 0.3916 | nan | nan |
| 2459875 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.338815 | 6.822101 | 58.324264 | 49.622694 | 12.025408 | 13.772186 | -1.989909 | 3.119667 | 0.6397 | 0.6758 | 0.4095 | nan | nan |
| 2459874 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 14.831730 | 9.609611 | 30.411356 | 25.242947 | 16.360240 | 17.817369 | -6.105741 | -4.932942 | 0.6362 | 0.6564 | 0.3964 | nan | nan |
| 2459873 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.079451 | 6.959957 | 41.306046 | 34.438039 | 6.534673 | 6.924714 | -4.075275 | -3.130332 | 0.6364 | 0.6491 | 0.3991 | nan | nan |
| 2459872 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.761923 | 6.345507 | 54.591885 | 45.507823 | 18.170929 | 19.524715 | -4.978920 | -3.859054 | 0.6329 | 0.6525 | 0.4079 | nan | nan |
| 2459871 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.103725 | 5.065051 | 55.508653 | 46.660014 | 16.385606 | 16.819436 | -3.376214 | -2.892995 | 0.6412 | 0.6568 | 0.4002 | nan | nan |
| 2459870 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 13.050745 | 8.450827 | 40.310887 | 33.664810 | 9.966609 | 11.055008 | -6.742874 | -5.329131 | 0.6435 | 0.6612 | 0.4030 | nan | nan |
| 2459869 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.083591 | 7.737288 | 39.232315 | 32.933830 | 14.585293 | 14.597242 | 0.741092 | -0.061867 | 0.6446 | 0.6738 | 0.4057 | nan | nan |
| 2459868 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.948755 | 7.858529 | 62.935582 | 53.055764 | 9.798520 | 10.598160 | -7.608572 | -6.004916 | 0.6304 | 0.6514 | 0.4165 | nan | nan |
| 2459867 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.714526 | 5.418339 | 50.083193 | 41.834113 | 5.417749 | 6.326393 | -5.237873 | -4.145264 | 0.6462 | 0.6602 | 0.4156 | nan | nan |
| 2459866 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.438582 | 5.940650 | 46.281449 | 38.477686 | 6.070751 | 6.657779 | -3.213484 | -2.836308 | 0.6461 | 0.6611 | 0.4097 | nan | nan |
| 2459865 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.621525 | 5.822364 | 61.888793 | 51.276287 | 14.398347 | 13.834009 | 12.250620 | 8.192849 | 0.6560 | 0.6707 | 0.3980 | nan | nan |
| 2459864 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 12.475831 | 7.516918 | 28.802899 | 23.724171 | 7.537041 | 8.182753 | -8.096344 | -5.430429 | 0.6421 | 0.6538 | 0.4345 | nan | nan |
| 2459863 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.664803 | 4.480422 | 5.565933 | 3.773282 | 2.715642 | 1.938941 | -4.570224 | -3.585271 | 0.6408 | 0.6490 | 0.4189 | nan | nan |
| 2459862 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.291552 | 6.153009 | 34.579628 | 28.363468 | 11.118674 | 11.813185 | -3.477236 | -2.655562 | 0.6106 | 0.6668 | 0.4408 | nan | nan |
| 2459861 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.476994 | 3.147639 | 4.118572 | 2.249813 | 2.054450 | -0.081081 | -4.815160 | -3.471002 | 0.6525 | 0.6553 | 0.4311 | nan | nan |
| 2459860 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.859494 | 4.465136 | 26.082602 | 21.557155 | 13.452210 | 13.618225 | -3.631071 | -2.999348 | 0.6584 | 0.6553 | 0.4275 | nan | nan |
| 2459859 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.938651 | 2.561514 | 4.136060 | 2.272201 | 1.828673 | -0.206677 | -3.233851 | -2.622238 | 0.6647 | 0.6623 | 0.4222 | nan | nan |
| 2459858 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.251480 | 2.956745 | 3.956399 | 2.084045 | 1.814672 | -0.399586 | -5.000813 | -3.328609 | 0.6740 | 0.6662 | 0.4362 | 2.735822 | 2.626734 |
| 2459857 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 17.841030 | 19.592195 | 23.275188 | 21.389903 | 9.303221 | 61.041239 | -12.331808 | -3.259290 | 0.6686 | 0.6770 | 0.4138 | nan | nan |
| 2459856 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.966129 | 5.507774 | 23.734969 | 19.602924 | 5.960178 | 6.711065 | -5.021549 | -3.955191 | 0.6614 | 0.6817 | 0.4229 | 2.409026 | 2.540575 |
| 2459855 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.843353 | 7.783980 | 27.028035 | 22.532406 | 2.339865 | 2.529316 | -3.334054 | -2.674448 | 0.6431 | 0.7017 | 0.4560 | 2.198351 | 2.319963 |
| 2459854 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.983504 | 8.656135 | 22.305545 | 18.769652 | 3.354589 | 2.815017 | -3.691416 | -2.422808 | 0.6606 | 0.7329 | 0.4681 | 2.311460 | 2.471425 |
| 2459853 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.853262 | 4.961231 | 28.290271 | 23.585569 | 6.430560 | 6.121566 | -5.802598 | -4.362911 | 0.6894 | 0.6708 | 0.4446 | 2.520580 | 2.583066 |
| 2459852 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459851 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459850 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.457666 | 4.922959 | 26.813624 | 21.953886 | 9.350214 | 13.143319 | -2.092035 | 8.224328 | 0.6918 | 0.7391 | 0.3730 | 2.401472 | 2.622412 |
| 2459849 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.697961 | 6.697847 | 51.926400 | 43.216208 | 6.286845 | 6.556490 | -5.211581 | -2.989075 | 0.6895 | 0.7312 | 0.3795 | 2.869672 | 3.054605 |
| 2459848 | RF_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.429376 | 6.866709 | 37.715608 | 31.289200 | 12.876949 | 13.432728 | -4.596992 | -3.237396 | 0.6638 | 0.7333 | 0.4025 | 2.486271 | 2.731576 |
| 2459847 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459841 | RF_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_maintenance | ee Power | 61.662215 | 6.526176 | 9.203923 | 52.911587 | 61.662215 | 19.373263 | 19.112726 | 1.945311 | -5.946870 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_maintenance | ee Power | 49.490819 | 6.974951 | 9.950872 | 42.736482 | 49.490819 | 6.146781 | 5.907650 | -3.548999 | -4.116949 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_maintenance | ee Power | 60.111254 | 6.886469 | 9.343816 | 51.976630 | 60.111254 | 10.431366 | 10.089003 | -6.325178 | -8.424544 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_maintenance | ee Power | 43.709613 | 9.817556 | 7.762708 | 43.709613 | 35.959410 | 27.171180 | 28.735850 | -8.082959 | -5.960792 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_maintenance | ee Power | 58.324264 | 10.338815 | 6.822101 | 58.324264 | 49.622694 | 12.025408 | 13.772186 | -1.989909 | 3.119667 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 30.411356 | 14.831730 | 9.609611 | 30.411356 | 25.242947 | 16.360240 | 17.817369 | -6.105741 | -4.932942 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 41.306046 | 11.079451 | 6.959957 | 41.306046 | 34.438039 | 6.534673 | 6.924714 | -4.075275 | -3.130332 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 54.591885 | 6.345507 | 9.761923 | 45.507823 | 54.591885 | 19.524715 | 18.170929 | -3.859054 | -4.978920 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 55.508653 | 5.065051 | 8.103725 | 46.660014 | 55.508653 | 16.819436 | 16.385606 | -2.892995 | -3.376214 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 40.310887 | 13.050745 | 8.450827 | 40.310887 | 33.664810 | 9.966609 | 11.055008 | -6.742874 | -5.329131 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 39.232315 | 11.083591 | 7.737288 | 39.232315 | 32.933830 | 14.585293 | 14.597242 | 0.741092 | -0.061867 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 62.935582 | 11.948755 | 7.858529 | 62.935582 | 53.055764 | 9.798520 | 10.598160 | -7.608572 | -6.004916 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 50.083193 | 8.714526 | 5.418339 | 50.083193 | 41.834113 | 5.417749 | 6.326393 | -5.237873 | -4.145264 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 46.281449 | 5.940650 | 9.438582 | 38.477686 | 46.281449 | 6.657779 | 6.070751 | -2.836308 | -3.213484 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 61.888793 | 9.621525 | 5.822364 | 61.888793 | 51.276287 | 14.398347 | 13.834009 | 12.250620 | 8.192849 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 28.802899 | 7.516918 | 12.475831 | 23.724171 | 28.802899 | 8.182753 | 7.537041 | -5.430429 | -8.096344 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Shape | 7.664803 | 7.664803 | 4.480422 | 5.565933 | 3.773282 | 2.715642 | 1.938941 | -4.570224 | -3.585271 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 34.579628 | 9.291552 | 6.153009 | 34.579628 | 28.363468 | 11.118674 | 11.813185 | -3.477236 | -2.655562 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Shape | 5.476994 | 3.147639 | 5.476994 | 2.249813 | 4.118572 | -0.081081 | 2.054450 | -3.471002 | -4.815160 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 26.082602 | 6.859494 | 4.465136 | 26.082602 | 21.557155 | 13.452210 | 13.618225 | -3.631071 | -2.999348 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Shape | 4.938651 | 4.938651 | 2.561514 | 4.136060 | 2.272201 | 1.828673 | -0.206677 | -3.233851 | -2.622238 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Shape | 5.251480 | 2.956745 | 5.251480 | 2.084045 | 3.956399 | -0.399586 | 1.814672 | -3.328609 | -5.000813 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | nn Temporal Variability | 61.041239 | 19.592195 | 17.841030 | 21.389903 | 23.275188 | 61.041239 | 9.303221 | -3.259290 | -12.331808 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 23.734969 | 8.966129 | 5.507774 | 23.734969 | 19.602924 | 5.960178 | 6.711065 | -5.021549 | -3.955191 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 27.028035 | 7.783980 | 10.843353 | 22.532406 | 27.028035 | 2.529316 | 2.339865 | -2.674448 | -3.334054 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 22.305545 | 8.656135 | 10.983504 | 18.769652 | 22.305545 | 2.815017 | 3.354589 | -2.422808 | -3.691416 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 28.290271 | 4.961231 | 7.853262 | 23.585569 | 28.290271 | 6.121566 | 6.430560 | -4.362911 | -5.802598 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 26.813624 | 8.457666 | 4.922959 | 26.813624 | 21.953886 | 9.350214 | 13.143319 | -2.092035 | 8.224328 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 51.926400 | 9.697961 | 6.697847 | 51.926400 | 43.216208 | 6.286845 | 6.556490 | -5.211581 | -2.989075 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Power | 37.715608 | 6.866709 | 9.429376 | 31.289200 | 37.715608 | 13.432728 | 12.876949 | -3.237396 | -4.596992 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 219 | N18 | RF_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |